Watch the recordings of Unwrapped, our conference
August 12th, 2024
5 min
Datawrapper lets you show your data as beautiful charts, maps or tables with a few clicks. Find out more about all the available visualization types.
Our mission is to help everyone communicate with data - from newsrooms to global enterprises, non-profits or public service.
We want to enable everyone to create beautiful charts, maps, and tables. New to data visualization? Or do you have specific questions about us? You'll find all the answers here.
Data vis best practices, news, and examples
250+ articles that explain how to use Datawrapper
Answers to common questions
An exchange place for Datawrapper visualizations
Attend and watch how to use Datawrapper best
Learn about available positions on our team
Our latest small and big improvements
Build your integration with Datawrapper's API
Get in touch with us – we're happy to help
We’re excited to announce that Patrick Stotz from Der Spiegel will speak at our Unwrapped conference about “You can’t do that with Datawrapper! Are you sure? Our 7 most satisfying Datawrapper workarounds.”
Time to ask him some questions:
I’m working as a data journalist since 2015 and currently fill the position as co-lead of the data & visualization department at the German newsroom Der Spiegel. I have learned most of what I know about data visualization through knowledge exchange in the dataviz community or simply learning on the job. Datawrapper is my “Swiss Army knife” for all kinds of visualizations, from the most simple charts to automatic updates via API and the DatawRappr-Package.
At Der Spiegel, we use Datawrapper on a daily basis. We have made it a habit to always check first whether we can solve challenges in Datawrapper before building more complex self-programmed solutions. In this talk, I would like to share some of the most unusual hacks we have implemented while doing so.
We use Datawrapper for a wide range of use cases in our team. It's our primary tool for quickly producing news graphics for our website spiegel.de, and we use it for all of the standard visualizations for our weekly print magazine.
We also use Datawrapper to create highly customized charts and maps for larger stories, keep lots of dynamic charts updated with data via the API, and use it for quick prototyping and data exploration.
Always ask you self if the chart you are producing is transporting exactly what you want to express. Does it emphasize the most important information? Is it easily understandable? Would additional annotation help? And: Is it well embedded into your article?
We're looking forward to Patrick's talk at Unwrapped! Until then, you can find more about him on Bluesky, Mastodon, and LinkedIn. To sign up for Unwrapped and hear Patrick and other great speakers, visit our conference website.
Comments